2012
DOI: 10.1007/s10530-012-0187-z
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Predicting the impact of climate change on the invasive decapods of the Iberian inland waters: an assessment of reliability

Abstract: In an effort to predict the impact of climate change on the distribution of existing invasive species, niche-based models (NBMs) are being increasingly used to make forecasts. Here, we investigate the reliability of these models in predicting future climatic suitability for 4 invasive decapods of the Iberian Peninsula: Cherax destructor, Eriocheir sinensis, Pacifastacus leniusculus and Procambarus clarkii. From an ensemble of forecasts generated by 5 distinct algorithms (generalized linear models, artificial n… Show more

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Cited by 36 publications
(35 citation statements)
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“…Italy; (Scalici et al, 2010)) and there are still wide areas environmentally suitable for invasion worldwide . Likewise, P. leniusculus is spreading over the Iberian Peninsula, with wide areas available for invasion in this territory and also worldwide (Capinha et al, , 2012. On a macroscale, these two species have relatively different environmental preferences but their distributions clearly overlap in some areas, such as the studied river stretch.…”
Section: Discussionmentioning
confidence: 99%
“…Italy; (Scalici et al, 2010)) and there are still wide areas environmentally suitable for invasion worldwide . Likewise, P. leniusculus is spreading over the Iberian Peninsula, with wide areas available for invasion in this territory and also worldwide (Capinha et al, , 2012. On a macroscale, these two species have relatively different environmental preferences but their distributions clearly overlap in some areas, such as the studied river stretch.…”
Section: Discussionmentioning
confidence: 99%
“…Posteriorly, these data were resampled to match the remaining variables in R. To avoid collinearity among variables, Pearson correlation coefficients were calculated for all pairs or predictors and the environmental variables included were the ones not highly correlated (r < 0.83). Several published papers refer distinct r values to define high correlations, for example r < 0.80 (Gallardo and Aldridge, 2013), r < 0.85 , r < 0.80 (Capinha et al, 2012) and some studies indicate that variables with −0.70 < r < 0.70 should be excluded (Domisch et al, 2013following Green, 1979. In this study only one pair of pairwised variables had an r outside this range being the remaining lower than 0.7.…”
Section: Data Sourcesmentioning
confidence: 99%
“…Species distribution data alone provides no information on how a species will respond to new climatic combinations and, thus, correlative predictions should be avoided for non-analog climates (Fitzpatrick and Hargrove 2009;Capinha et al 2012). Moreover, because of the geometric nature of alpha-shapes, the new climatic combinations are likely to fall outside the species niche.…”
Section: Modeling Of the Macroclimatic Nichementioning
confidence: 99%